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predict cancer progression. We use a combination of experimental and clinical data paired with computational analyses to model tumor evolution. We seek a postdoctoral candidate who will apply a combination
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investigate systemic immunity, the tumor microenvironment (TME), and the mechanistic drivers of resistance to radiation and immunotherapy utilizing advanced pre-clinical models of head/neck and pancreatic
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effects, so studying different models of quantum computation enables us to pinpoint different ways to get quantum systems to work their magic. The postdoctoral Researcher is expected to work jointly with
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for a short-term 2.5-month postdoctoral position (full-time) focused on developing and validating machine learning models that predict soil health and crop performance. The position will exploit datasets
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program. Our work focuses on the development of advanced cancer models, integrative genomic analyses, and the discovery of novel therapeutic strategies. Using systematic, interdisciplinary approaches
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electrophysiology, chemogenetic and optogenetic circuit manipulation, Inducible conditional knockout mouse models, and Pharmacological interventions. The successful candidate will use these cutting-edge approaches
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applied research on AI-driven and AI-enhanced industrial energy systems optimization modeling, material flow analysis, and supply chain analysis of industrial commodities and critical materials
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. The candidate will work closely with computational modeling collaborators to validate reactor designs and optimize operating parameters. The candidate will be expected to contribute to report preparation
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/user behavior, Collect and analyze human performance data (reaction times, workload, situational awareness, eye tracking, etc.), Develop and validate computational models of human behavior in driving
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ternary and quaternary compositional spaces to provide experimental benchmarks for computational predictive models. The work will include planning and carrying out experiments, maintaining detailed